FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving

Understand

Moving Object Detection (MOD) is an important task for achieving robust autonomous driving.

• An autonomous vehicle has to estimate collision risk with other interacting objects in the environment and calculate an optional trajectory.
• Collision risk is typically higher for moving objects than static ones due to the need to estimate the future states and poses of the objects for decision making.
• This is particularly important for near-range objects around the vehicle which are typically detected by a fisheye surround-view system that captures a 360{\deg} view of the scene.